{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "graduate-knowing",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cross-currency",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station</th>\n",
       "      <th>Date</th>\n",
       "      <th>Present_Tmax</th>\n",
       "      <th>Present_Tmin</th>\n",
       "      <th>LDAPS_RHmin</th>\n",
       "      <th>LDAPS_RHmax</th>\n",
       "      <th>LDAPS_Tmax_lapse</th>\n",
       "      <th>LDAPS_Tmin_lapse</th>\n",
       "      <th>LDAPS_WS</th>\n",
       "      <th>LDAPS_LH</th>\n",
       "      <th>...</th>\n",
       "      <th>LDAPS_PPT2</th>\n",
       "      <th>LDAPS_PPT3</th>\n",
       "      <th>LDAPS_PPT4</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>DEM</th>\n",
       "      <th>Slope</th>\n",
       "      <th>Solar radiation</th>\n",
       "      <th>Next_Tmax</th>\n",
       "      <th>Next_Tmin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2013-06-30</td>\n",
       "      <td>28.7</td>\n",
       "      <td>21.4</td>\n",
       "      <td>58.255688</td>\n",
       "      <td>91.116364</td>\n",
       "      <td>28.074101</td>\n",
       "      <td>23.006936</td>\n",
       "      <td>6.818887</td>\n",
       "      <td>69.451805</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>126.991</td>\n",
       "      <td>212.3350</td>\n",
       "      <td>2.7850</td>\n",
       "      <td>5992.895996</td>\n",
       "      <td>29.1</td>\n",
       "      <td>21.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2013-06-30</td>\n",
       "      <td>31.9</td>\n",
       "      <td>21.6</td>\n",
       "      <td>52.263397</td>\n",
       "      <td>90.604721</td>\n",
       "      <td>29.850689</td>\n",
       "      <td>24.035009</td>\n",
       "      <td>5.691890</td>\n",
       "      <td>51.937448</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.6046</td>\n",
       "      <td>127.032</td>\n",
       "      <td>44.7624</td>\n",
       "      <td>0.5141</td>\n",
       "      <td>5869.312500</td>\n",
       "      <td>30.5</td>\n",
       "      <td>22.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2013-06-30</td>\n",
       "      <td>31.6</td>\n",
       "      <td>23.3</td>\n",
       "      <td>48.690479</td>\n",
       "      <td>83.973587</td>\n",
       "      <td>30.091292</td>\n",
       "      <td>24.565633</td>\n",
       "      <td>6.138224</td>\n",
       "      <td>20.573050</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.5776</td>\n",
       "      <td>127.058</td>\n",
       "      <td>33.3068</td>\n",
       "      <td>0.2661</td>\n",
       "      <td>5863.555664</td>\n",
       "      <td>31.1</td>\n",
       "      <td>23.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2013-06-30</td>\n",
       "      <td>32.0</td>\n",
       "      <td>23.4</td>\n",
       "      <td>58.239788</td>\n",
       "      <td>96.483688</td>\n",
       "      <td>29.704629</td>\n",
       "      <td>23.326177</td>\n",
       "      <td>5.650050</td>\n",
       "      <td>65.727144</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.6450</td>\n",
       "      <td>127.022</td>\n",
       "      <td>45.7160</td>\n",
       "      <td>2.5348</td>\n",
       "      <td>5856.964844</td>\n",
       "      <td>31.7</td>\n",
       "      <td>24.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2013-06-30</td>\n",
       "      <td>31.4</td>\n",
       "      <td>21.9</td>\n",
       "      <td>56.174095</td>\n",
       "      <td>90.155128</td>\n",
       "      <td>29.113934</td>\n",
       "      <td>23.486480</td>\n",
       "      <td>5.735004</td>\n",
       "      <td>107.965535</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.5507</td>\n",
       "      <td>127.135</td>\n",
       "      <td>35.0380</td>\n",
       "      <td>0.5055</td>\n",
       "      <td>5859.552246</td>\n",
       "      <td>31.2</td>\n",
       "      <td>22.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   station       Date  Present_Tmax  Present_Tmin  LDAPS_RHmin  LDAPS_RHmax  \\\n",
       "0      1.0 2013-06-30          28.7          21.4    58.255688    91.116364   \n",
       "1      2.0 2013-06-30          31.9          21.6    52.263397    90.604721   \n",
       "2      3.0 2013-06-30          31.6          23.3    48.690479    83.973587   \n",
       "3      4.0 2013-06-30          32.0          23.4    58.239788    96.483688   \n",
       "4      5.0 2013-06-30          31.4          21.9    56.174095    90.155128   \n",
       "\n",
       "   LDAPS_Tmax_lapse  LDAPS_Tmin_lapse  LDAPS_WS    LDAPS_LH  ...  LDAPS_PPT2  \\\n",
       "0         28.074101         23.006936  6.818887   69.451805  ...         0.0   \n",
       "1         29.850689         24.035009  5.691890   51.937448  ...         0.0   \n",
       "2         30.091292         24.565633  6.138224   20.573050  ...         0.0   \n",
       "3         29.704629         23.326177  5.650050   65.727144  ...         0.0   \n",
       "4         29.113934         23.486480  5.735004  107.965535  ...         0.0   \n",
       "\n",
       "   LDAPS_PPT3  LDAPS_PPT4      lat      lon       DEM   Slope  \\\n",
       "0         0.0         0.0  37.6046  126.991  212.3350  2.7850   \n",
       "1         0.0         0.0  37.6046  127.032   44.7624  0.5141   \n",
       "2         0.0         0.0  37.5776  127.058   33.3068  0.2661   \n",
       "3         0.0         0.0  37.6450  127.022   45.7160  2.5348   \n",
       "4         0.0         0.0  37.5507  127.135   35.0380  0.5055   \n",
       "\n",
       "   Solar radiation  Next_Tmax  Next_Tmin  \n",
       "0      5992.895996       29.1       21.2  \n",
       "1      5869.312500       30.5       22.5  \n",
       "2      5863.555664       31.1       23.9  \n",
       "3      5856.964844       31.7       24.3  \n",
       "4      5859.552246       31.2       22.5  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Data=pd.read_csv(r\"Dataset.csv\",parse_dates=[\"Date\"])\n",
    "Data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "legislative-might",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>station</th>\n",
       "      <td>7750.0</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>7.211568</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Present_Tmax</th>\n",
       "      <td>7682.0</td>\n",
       "      <td>29.768211</td>\n",
       "      <td>2.969999</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>27.800000</td>\n",
       "      <td>29.900000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>37.600000</td>\n",
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       "    <tr>\n",
       "      <th>Present_Tmin</th>\n",
       "      <td>7682.0</td>\n",
       "      <td>23.225059</td>\n",
       "      <td>2.413961</td>\n",
       "      <td>11.300000</td>\n",
       "      <td>21.700000</td>\n",
       "      <td>23.400000</td>\n",
       "      <td>24.900000</td>\n",
       "      <td>29.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_RHmin</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>56.759372</td>\n",
       "      <td>14.668111</td>\n",
       "      <td>19.794666</td>\n",
       "      <td>45.963543</td>\n",
       "      <td>55.039024</td>\n",
       "      <td>67.190056</td>\n",
       "      <td>98.524734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_RHmax</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>88.374804</td>\n",
       "      <td>7.192004</td>\n",
       "      <td>58.936283</td>\n",
       "      <td>84.222862</td>\n",
       "      <td>89.793480</td>\n",
       "      <td>93.743629</td>\n",
       "      <td>100.000153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_Tmax_lapse</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>29.613447</td>\n",
       "      <td>2.947191</td>\n",
       "      <td>17.624954</td>\n",
       "      <td>27.673499</td>\n",
       "      <td>29.703426</td>\n",
       "      <td>31.710450</td>\n",
       "      <td>38.542255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_Tmin_lapse</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>23.512589</td>\n",
       "      <td>2.345347</td>\n",
       "      <td>14.272646</td>\n",
       "      <td>22.089739</td>\n",
       "      <td>23.760199</td>\n",
       "      <td>25.152909</td>\n",
       "      <td>29.619342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_WS</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>7.097875</td>\n",
       "      <td>2.183836</td>\n",
       "      <td>2.882580</td>\n",
       "      <td>5.678705</td>\n",
       "      <td>6.547470</td>\n",
       "      <td>8.032276</td>\n",
       "      <td>21.857621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_LH</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>62.505019</td>\n",
       "      <td>33.730589</td>\n",
       "      <td>-13.603212</td>\n",
       "      <td>37.266753</td>\n",
       "      <td>56.865482</td>\n",
       "      <td>84.223616</td>\n",
       "      <td>213.414006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_CC1</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>0.368774</td>\n",
       "      <td>0.262458</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.146654</td>\n",
       "      <td>0.315697</td>\n",
       "      <td>0.575489</td>\n",
       "      <td>0.967277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_CC2</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>0.356080</td>\n",
       "      <td>0.258061</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.140615</td>\n",
       "      <td>0.312421</td>\n",
       "      <td>0.558694</td>\n",
       "      <td>0.968353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_CC3</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>0.318404</td>\n",
       "      <td>0.250362</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.101388</td>\n",
       "      <td>0.262555</td>\n",
       "      <td>0.496703</td>\n",
       "      <td>0.983789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_CC4</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>0.299191</td>\n",
       "      <td>0.254348</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.081532</td>\n",
       "      <td>0.227664</td>\n",
       "      <td>0.499489</td>\n",
       "      <td>0.974710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_PPT1</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>0.591995</td>\n",
       "      <td>1.945768</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052525</td>\n",
       "      <td>23.701544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_PPT2</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>0.485003</td>\n",
       "      <td>1.762807</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.018364</td>\n",
       "      <td>21.621661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_PPT3</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>0.278200</td>\n",
       "      <td>1.161809</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007896</td>\n",
       "      <td>15.841235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDAPS_PPT4</th>\n",
       "      <td>7677.0</td>\n",
       "      <td>0.269407</td>\n",
       "      <td>1.206214</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000041</td>\n",
       "      <td>16.655469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>7752.0</td>\n",
       "      <td>37.544722</td>\n",
       "      <td>0.050352</td>\n",
       "      <td>37.456200</td>\n",
       "      <td>37.510200</td>\n",
       "      <td>37.550700</td>\n",
       "      <td>37.577600</td>\n",
       "      <td>37.645000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lon</th>\n",
       "      <td>7752.0</td>\n",
       "      <td>126.991397</td>\n",
       "      <td>0.079435</td>\n",
       "      <td>126.826000</td>\n",
       "      <td>126.937000</td>\n",
       "      <td>126.995000</td>\n",
       "      <td>127.042000</td>\n",
       "      <td>127.135000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEM</th>\n",
       "      <td>7752.0</td>\n",
       "      <td>61.867972</td>\n",
       "      <td>54.279780</td>\n",
       "      <td>12.370000</td>\n",
       "      <td>28.700000</td>\n",
       "      <td>45.716000</td>\n",
       "      <td>59.832400</td>\n",
       "      <td>212.335000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Slope</th>\n",
       "      <td>7752.0</td>\n",
       "      <td>1.257048</td>\n",
       "      <td>1.370444</td>\n",
       "      <td>0.098475</td>\n",
       "      <td>0.271300</td>\n",
       "      <td>0.618000</td>\n",
       "      <td>1.767800</td>\n",
       "      <td>5.178230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Solar radiation</th>\n",
       "      <td>7752.0</td>\n",
       "      <td>5341.502803</td>\n",
       "      <td>429.158867</td>\n",
       "      <td>4329.520508</td>\n",
       "      <td>4999.018555</td>\n",
       "      <td>5436.345215</td>\n",
       "      <td>5728.316406</td>\n",
       "      <td>5992.895996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Next_Tmax</th>\n",
       "      <td>7725.0</td>\n",
       "      <td>30.274887</td>\n",
       "      <td>3.128010</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>28.200000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.600000</td>\n",
       "      <td>38.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Next_Tmin</th>\n",
       "      <td>7725.0</td>\n",
       "      <td>22.932220</td>\n",
       "      <td>2.487613</td>\n",
       "      <td>11.300000</td>\n",
       "      <td>21.300000</td>\n",
       "      <td>23.100000</td>\n",
       "      <td>24.600000</td>\n",
       "      <td>29.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   count         mean         std          min          25%  \\\n",
       "station           7750.0    13.000000    7.211568     1.000000     7.000000   \n",
       "Present_Tmax      7682.0    29.768211    2.969999    20.000000    27.800000   \n",
       "Present_Tmin      7682.0    23.225059    2.413961    11.300000    21.700000   \n",
       "LDAPS_RHmin       7677.0    56.759372   14.668111    19.794666    45.963543   \n",
       "LDAPS_RHmax       7677.0    88.374804    7.192004    58.936283    84.222862   \n",
       "LDAPS_Tmax_lapse  7677.0    29.613447    2.947191    17.624954    27.673499   \n",
       "LDAPS_Tmin_lapse  7677.0    23.512589    2.345347    14.272646    22.089739   \n",
       "LDAPS_WS          7677.0     7.097875    2.183836     2.882580     5.678705   \n",
       "LDAPS_LH          7677.0    62.505019   33.730589   -13.603212    37.266753   \n",
       "LDAPS_CC1         7677.0     0.368774    0.262458     0.000000     0.146654   \n",
       "LDAPS_CC2         7677.0     0.356080    0.258061     0.000000     0.140615   \n",
       "LDAPS_CC3         7677.0     0.318404    0.250362     0.000000     0.101388   \n",
       "LDAPS_CC4         7677.0     0.299191    0.254348     0.000000     0.081532   \n",
       "LDAPS_PPT1        7677.0     0.591995    1.945768     0.000000     0.000000   \n",
       "LDAPS_PPT2        7677.0     0.485003    1.762807     0.000000     0.000000   \n",
       "LDAPS_PPT3        7677.0     0.278200    1.161809     0.000000     0.000000   \n",
       "LDAPS_PPT4        7677.0     0.269407    1.206214     0.000000     0.000000   \n",
       "lat               7752.0    37.544722    0.050352    37.456200    37.510200   \n",
       "lon               7752.0   126.991397    0.079435   126.826000   126.937000   \n",
       "DEM               7752.0    61.867972   54.279780    12.370000    28.700000   \n",
       "Slope             7752.0     1.257048    1.370444     0.098475     0.271300   \n",
       "Solar radiation   7752.0  5341.502803  429.158867  4329.520508  4999.018555   \n",
       "Next_Tmax         7725.0    30.274887    3.128010    17.400000    28.200000   \n",
       "Next_Tmin         7725.0    22.932220    2.487613    11.300000    21.300000   \n",
       "\n",
       "                          50%          75%          max  \n",
       "station             13.000000    19.000000    25.000000  \n",
       "Present_Tmax        29.900000    32.000000    37.600000  \n",
       "Present_Tmin        23.400000    24.900000    29.900000  \n",
       "LDAPS_RHmin         55.039024    67.190056    98.524734  \n",
       "LDAPS_RHmax         89.793480    93.743629   100.000153  \n",
       "LDAPS_Tmax_lapse    29.703426    31.710450    38.542255  \n",
       "LDAPS_Tmin_lapse    23.760199    25.152909    29.619342  \n",
       "LDAPS_WS             6.547470     8.032276    21.857621  \n",
       "LDAPS_LH            56.865482    84.223616   213.414006  \n",
       "LDAPS_CC1            0.315697     0.575489     0.967277  \n",
       "LDAPS_CC2            0.312421     0.558694     0.968353  \n",
       "LDAPS_CC3            0.262555     0.496703     0.983789  \n",
       "LDAPS_CC4            0.227664     0.499489     0.974710  \n",
       "LDAPS_PPT1           0.000000     0.052525    23.701544  \n",
       "LDAPS_PPT2           0.000000     0.018364    21.621661  \n",
       "LDAPS_PPT3           0.000000     0.007896    15.841235  \n",
       "LDAPS_PPT4           0.000000     0.000041    16.655469  \n",
       "lat                 37.550700    37.577600    37.645000  \n",
       "lon                126.995000   127.042000   127.135000  \n",
       "DEM                 45.716000    59.832400   212.335000  \n",
       "Slope                0.618000     1.767800     5.178230  \n",
       "Solar radiation   5436.345215  5728.316406  5992.895996  \n",
       "Next_Tmax           30.500000    32.600000    38.900000  \n",
       "Next_Tmin           23.100000    24.600000    29.800000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Data.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "molecular-motor",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7752 entries, 0 to 7751\n",
      "Data columns (total 25 columns):\n",
      " #   Column            Non-Null Count  Dtype         \n",
      "---  ------            --------------  -----         \n",
      " 0   station           7750 non-null   float64       \n",
      " 1   Date              7750 non-null   datetime64[ns]\n",
      " 2   Present_Tmax      7682 non-null   float64       \n",
      " 3   Present_Tmin      7682 non-null   float64       \n",
      " 4   LDAPS_RHmin       7677 non-null   float64       \n",
      " 5   LDAPS_RHmax       7677 non-null   float64       \n",
      " 6   LDAPS_Tmax_lapse  7677 non-null   float64       \n",
      " 7   LDAPS_Tmin_lapse  7677 non-null   float64       \n",
      " 8   LDAPS_WS          7677 non-null   float64       \n",
      " 9   LDAPS_LH          7677 non-null   float64       \n",
      " 10  LDAPS_CC1         7677 non-null   float64       \n",
      " 11  LDAPS_CC2         7677 non-null   float64       \n",
      " 12  LDAPS_CC3         7677 non-null   float64       \n",
      " 13  LDAPS_CC4         7677 non-null   float64       \n",
      " 14  LDAPS_PPT1        7677 non-null   float64       \n",
      " 15  LDAPS_PPT2        7677 non-null   float64       \n",
      " 16  LDAPS_PPT3        7677 non-null   float64       \n",
      " 17  LDAPS_PPT4        7677 non-null   float64       \n",
      " 18  lat               7752 non-null   float64       \n",
      " 19  lon               7752 non-null   float64       \n",
      " 20  DEM               7752 non-null   float64       \n",
      " 21  Slope             7752 non-null   float64       \n",
      " 22  Solar radiation   7752 non-null   float64       \n",
      " 23  Next_Tmax         7725 non-null   float64       \n",
      " 24  Next_Tmin         7725 non-null   float64       \n",
      "dtypes: datetime64[ns](1), float64(24)\n",
      "memory usage: 1.5 MB\n"
     ]
    }
   ],
   "source": [
    "Data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "excellent-hindu",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "station              2\n",
       "Date                 2\n",
       "Present_Tmax        70\n",
       "Present_Tmin        70\n",
       "LDAPS_RHmin         75\n",
       "LDAPS_RHmax         75\n",
       "LDAPS_Tmax_lapse    75\n",
       "LDAPS_Tmin_lapse    75\n",
       "LDAPS_WS            75\n",
       "LDAPS_LH            75\n",
       "LDAPS_CC1           75\n",
       "LDAPS_CC2           75\n",
       "LDAPS_CC3           75\n",
       "LDAPS_CC4           75\n",
       "LDAPS_PPT1          75\n",
       "LDAPS_PPT2          75\n",
       "LDAPS_PPT3          75\n",
       "LDAPS_PPT4          75\n",
       "lat                  0\n",
       "lon                  0\n",
       "DEM                  0\n",
       "Slope                0\n",
       "Solar radiation      0\n",
       "Next_Tmax           27\n",
       "Next_Tmin           27\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "rapid-fruit",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\asus\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\ipykernel_launcher.py:2: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
      "  \n"
     ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station</th>\n",
       "      <th>Date</th>\n",
       "      <th>Present_Tmax</th>\n",
       "      <th>Present_Tmin</th>\n",
       "      <th>LDAPS_RHmin</th>\n",
       "      <th>LDAPS_RHmax</th>\n",
       "      <th>LDAPS_Tmax_lapse</th>\n",
       "      <th>LDAPS_Tmin_lapse</th>\n",
       "      <th>LDAPS_WS</th>\n",
       "      <th>LDAPS_LH</th>\n",
       "      <th>...</th>\n",
       "      <th>LDAPS_PPT2</th>\n",
       "      <th>LDAPS_PPT3</th>\n",
       "      <th>LDAPS_PPT4</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>DEM</th>\n",
       "      <th>Slope</th>\n",
       "      <th>Solar radiation</th>\n",
       "      <th>Next_Tmax</th>\n",
       "      <th>Next_Tmin</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2013-07-09</td>\n",
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       "      <td>99.668961</td>\n",
       "      <td>27.872808</td>\n",
       "      <td>22.907420</td>\n",
       "      <td>11.017837</td>\n",
       "      <td>44.002020</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>37.6046</td>\n",
       "      <td>126.991</td>\n",
       "      <td>212.3350</td>\n",
       "      <td>2.7850</td>\n",
       "      <td>5925.883789</td>\n",
       "      <td>23.4</td>\n",
       "      <td>22.0</td>\n",
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       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>22.0</td>\n",
       "      <td>2013-07-10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.196007</td>\n",
       "      <td>95.168205</td>\n",
       "      <td>28.097980</td>\n",
       "      <td>24.510159</td>\n",
       "      <td>8.374849</td>\n",
       "      <td>38.782242</td>\n",
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       "      <td>37.5102</td>\n",
       "      <td>127.086</td>\n",
       "      <td>21.9668</td>\n",
       "      <td>0.1332</td>\n",
       "      <td>5772.487305</td>\n",
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       "      <th>300</th>\n",
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       "      <td>2013-07-12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.027298</td>\n",
       "      <td>99.209839</td>\n",
       "      <td>24.078120</td>\n",
       "      <td>21.866817</td>\n",
       "      <td>8.543768</td>\n",
       "      <td>9.371270</td>\n",
       "      <td>...</td>\n",
       "      <td>5.055660</td>\n",
       "      <td>1.347418</td>\n",
       "      <td>0.980052</td>\n",
       "      <td>37.6046</td>\n",
       "      <td>126.991</td>\n",
       "      <td>212.3350</td>\n",
       "      <td>2.7850</td>\n",
       "      <td>5893.265625</td>\n",
       "      <td>23.2</td>\n",
       "      <td>20.5</td>\n",
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       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2013-07-18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.891193</td>\n",
       "      <td>94.747780</td>\n",
       "      <td>29.195536</td>\n",
       "      <td>23.236973</td>\n",
       "      <td>10.881031</td>\n",
       "      <td>79.349271</td>\n",
       "      <td>...</td>\n",
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       "      <td>37.6046</td>\n",
       "      <td>126.991</td>\n",
       "      <td>212.3350</td>\n",
       "      <td>2.7850</td>\n",
       "      <td>5812.293457</td>\n",
       "      <td>27.6</td>\n",
       "      <td>21.8</td>\n",
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       "    <tr>\n",
       "      <th>464</th>\n",
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       "      <td>2013-07-18</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>52.795406</td>\n",
       "      <td>83.902847</td>\n",
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       "      <td>37.5507</td>\n",
       "      <td>126.937</td>\n",
       "      <td>30.0464</td>\n",
       "      <td>0.8552</td>\n",
       "      <td>5681.875000</td>\n",
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       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     station       Date  Present_Tmax  Present_Tmin  LDAPS_RHmin  LDAPS_RHmax  \\\n",
       "225      1.0 2013-07-09           NaN           NaN    70.051193    99.668961   \n",
       "271     22.0 2013-07-10           NaN           NaN    72.196007    95.168205   \n",
       "300      1.0 2013-07-12           NaN           NaN    95.027298    99.209839   \n",
       "450      1.0 2013-07-18           NaN           NaN    60.891193    94.747780   \n",
       "464     15.0 2013-07-18           NaN           NaN    52.795406    83.902847   \n",
       "\n",
       "     LDAPS_Tmax_lapse  LDAPS_Tmin_lapse   LDAPS_WS   LDAPS_LH  ...  \\\n",
       "225         27.872808         22.907420  11.017837  44.002020  ...   \n",
       "271         28.097980         24.510159   8.374849  38.782242  ...   \n",
       "300         24.078120         21.866817   8.543768   9.371270  ...   \n",
       "450         29.195536         23.236973  10.881031  79.349271  ...   \n",
       "464         31.480089         25.607262   8.995135  26.022306  ...   \n",
       "\n",
       "     LDAPS_PPT2  LDAPS_PPT3  LDAPS_PPT4      lat      lon       DEM   Slope  \\\n",
       "225    0.036680    0.000000    0.000000  37.6046  126.991  212.3350  2.7850   \n",
       "271    0.007261    0.000000    0.000000  37.5102  127.086   21.9668  0.1332   \n",
       "300    5.055660    1.347418    0.980052  37.6046  126.991  212.3350  2.7850   \n",
       "450    0.000000    0.000000    0.057358  37.6046  126.991  212.3350  2.7850   \n",
       "464    0.000000    0.000000    0.008702  37.5507  126.937   30.0464  0.8552   \n",
       "\n",
       "     Solar radiation  Next_Tmax  Next_Tmin  \n",
       "225      5925.883789       23.4       22.0  \n",
       "271      5772.487305       26.1       24.1  \n",
       "300      5893.265625       23.2       20.5  \n",
       "450      5812.293457       27.6       21.8  \n",
       "464      5681.875000       30.7       23.4  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp=Data.apply(lambda x:x.isna().sum()>0,axis=1)\n",
    "Data.Null=Data.loc[temp,:]\n",
    "Data.Null.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "awful-richardson",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(164, 25)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Data.Null.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "according-prisoner",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot=Data.drop(\"Date\",axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "separated-public",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\asus\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\tools.py:400: MatplotlibDeprecationWarning: \n",
      "The is_first_col function was deprecated in Matplotlib 3.4 and will be removed two minor releases later. Use ax.get_subplotspec().is_first_col() instead.\n",
      "  if ax.is_first_col():\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'station'}>,\n",
       "        <AxesSubplot:title={'center':'Present_Tmax'}>,\n",
       "        <AxesSubplot:title={'center':'Present_Tmin'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_RHmin'}>],\n",
       "       [<AxesSubplot:title={'center':'LDAPS_RHmax'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_Tmax_lapse'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_Tmin_lapse'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_WS'}>],\n",
       "       [<AxesSubplot:title={'center':'LDAPS_LH'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_CC1'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_CC2'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_CC3'}>],\n",
       "       [<AxesSubplot:title={'center':'LDAPS_CC4'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_PPT1'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_PPT2'}>,\n",
       "        <AxesSubplot:title={'center':'LDAPS_PPT3'}>],\n",
       "       [<AxesSubplot:title={'center':'LDAPS_PPT4'}>,\n",
       "        <AxesSubplot:title={'center':'lat'}>,\n",
       "        <AxesSubplot:title={'center':'lon'}>,\n",
       "        <AxesSubplot:title={'center':'DEM'}>],\n",
       "       [<AxesSubplot:title={'center':'Slope'}>,\n",
       "        <AxesSubplot:title={'center':'Solar radiation'}>,\n",
       "        <AxesSubplot:title={'center':'Next_Tmax'}>,\n",
       "        <AxesSubplot:title={'center':'Next_Tmin'}>]], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 24 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.hist(density=True,grid=False,layout=(6,4),figsize=(18,18))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "handmade-wheat",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "station\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Present_Tmax\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Present_Tmin\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_RHmin\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_RHmax\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_Tmax_lapse\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_Tmin_lapse\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_WS\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_LH\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_CC1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_CC2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_CC3\n"
     ]
    },
    {
     "data": {
      "image/png": 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sW4PHX5lGVeEy2f6RlU3l9MtyFmbnqtg1PoVd41Po67WwZ8e6ls+0W/v2uw0A2r+xiN+CfeAM02EE9P5lSdBccZVfnFATROlfVxXwqNINhwcLeN9itc139OzlRoD2uZ0DuH5zrqk979WZSktaodv4Nh7tZgZb4AyTANzav7STK253iThdNsVSGbvHp3y5cK5pqjPtdwhjh88pA5uVanO/c6/xbX7/thBhC5xhYqLXyvjOEskSBR58DDS7RrJESheOCRdLZUxMFpHR3CrY7xBMBTiv6cqY77W0dxxcvt8MCzjDxMRMZR4358ybdeWsLJ59aENb4m13jbTT5VGgVryjeg/nHYKbyGaIGm4U3XKEiK5qtdtgAWcSzTv7t3d6CaHilTIt7Vv7nMqg+Olt0g5LHLNER7atqQ2KVlAVouFT17ljrpUr2qpVDmA2wz5wJtGse/LPInvvRVnCbAST6NtBwF97WbdUu7j8xVdnKk0ZIvLz9x48o+xo6DWZSFrw3GPcGxJtNs/3w9DQkDh58qTx891yWBmmmyGgMe7tq9OXGkJoT8dzpuHJ18mLwMzsXKyl7KoLz+rRQ0o/OwF4bueAtmiIhbsZIjolhBhyPs4WOMMkEJnC5xxnJtPxALWLxJ5hErd/VGVN53st5UXkdlseOhfrBIcFnGFShkzH83KRzLv+NRo27z/SEOGJySLeuzGnfJ7MQx/Ztsb3NCLmFizgDJNCvHqpdAqZWy57vrg1utL1h+FyenNYwBkmhUj/eLszP/t6LQjhPT7NDwLQTrJ3ouoPI0X90JuXmtwvXE7fCqcRMkzKsLKELWtX4MCpYtszP9+7MReqeAfBuQ1S1FW+cy6nb4YFnGESCgF4dFN/U0vWvl4LYw9swNGzl0PJ8a7MC2S9GrF0ALcLE5fT34JdKAyTUARqTaKulSsoOPy/QXpz66gKgWyGlF0Gk4ifcvpu96GzBc4wCUV2DVSNWguzJ0ghn0uNeBOALWtXGD3X2Uog6Li6JMMCzjAJReUblv5fVa+QoF/msDJZ+jTNqewsXZQ1Wqeu6ZcAcOBU0UiEF0JL2kQLuJXo1TFM/Ej/r6pXCDroyi7kc5h88h48v3PAdYza9dmqZ3667HuiG9JsKsJB2tWmjUT7wFNyV8cwvslQsPPbOYQYuFXJ2Mmvyz+8dxMf+q2vNYY4WBmgEqCSyMpSw089PFjQluKbiLBXr5VuINE2bsL6DDFMaAQ1TqT/d2KyiIF9b2DX+FTDx9tJbs7NN03gCSLeAFB1fOl1YqvrJW5nIbSkTbSAMwzTzNGzlxvBuU7nb0fBPNDkHhnZtgZWttU3dG2m4ukHXwgtaRPtQmEYppliqRxbn+9OYXePDA8W8MRrb6LisMznUWtX6yXGzpa0E5NFbN5/pGvSClnAGSZFyNRCv9jb0G7efyRxPVTsON0mZY0/xu0OxJ7/vSxngajWydE5EzTtpfmeLhQiWkJE3yCiaSI6Q0T76o+vJqITRPQ9IhonokXRL5dhFjYmE+ydZIkw+eQ9DZFKsg/YylDb63Pmf5fKlUZZvltqZhox8YHfBLBVCLEBwACATxDRJgC/C+A5IcRPALgK4DORrZJhmAZ+Z7As7iGsHj2EzfuPYGKymFhrM5+zMPZg6wxQXX45EZq2S+LXxZTmtEJPF4qojex5r/6rVf8RALYC+OX6418BsBfA74W/RIZhgkBUc7nI7BDZ6nVXiGX4YeA1Qm77R1YquxvKC5nTFeJXkNOcVmg0Uo2IsgBOAfgJAF8CMAbgeN36BhHdAeBrQogPK177GIDHAKC/v3/j+fPnjRfHI9UYJhiE2gT4dibRx0m+7qcuzVRagot+fPaFfA7Xb/rrsNhrZbCoJ4tr5dbPTgq6kWpGaYRCiKoQYgDABwF8DMBa0w8WQnxZCDEkhBhascKshwHDMO0hgNSIN3DLTy17luwan8LgU29gYrLoK+BaLJVxfVY9BUjHTGUepXIllf1SfOWBCyFKAI4C+DiAPBFJF8wHAaRjixmGSQX2+Z9+qFQFli5S91IxoVypYt/rZwK/Pk5MslBWEFG+/v8cgF8A8F3UhPyB+tN+FcCfRLRGhmEWKM78b1Ouz1aVBUCmXDUoFEoCJhb4SgBHiehNAN8E8OdCiK8C+DyAzxHR9wC8H8AfRLdMhmGYZtyaZgF68c8Y6vrjL08rs1yShEkWypsABhWPfx81fzjDMEzs3Jybx6Ob+nHgVNFX2mCWCNmMt3UvYwhJLvjhXigMw6SScqWKo2cv45n71vsaC1eZF1i6qMeof7n9s5JY8MMCzjBMarlYKmN4sIB5nxk3pXIFJcXQZK/PShos4AzDpBZZhBOkGEcn+TprPokFPyzgDMOkFtkffWTbGlim0UkXCMCzD21ITR9xFnCGYWIlS4RHN/U3Rqb5bc5l5+jZywBqwcWxBzc0ZaYEed/b87lU9RHndrIMw8TKw3ffgaNnL6NYKtfau7ZRMFoslbF69FCjBH5qzz1Nf/dThk+41anR2Uc8qbAFzjBMrLxw/EJDVMMo9ncrgVeNVbMy1FLkQwAe2dSfCtG2wwLOMExXUK5UsWt8qqnwRuUOGXtwA8Ye2ND02HM7B/D08PqOrj8IiXahBJ3czTDMwsVZeCN/5JSe3eNToXQdtE/96VQXw0QLOIs3wzBBkNb42OFzDb/2E6+dblRstltdKaf+hPV+QUm0gDMMw7SDFNbFPZmWcnt7daVfS1o19Ue+Hws4wzBMSJQrVW2vFCnwfi1pXVVm3NWaHMRkGGbBkiVytcx16Koy467WZAFnGKbr6eu1lNWVuqlFXrnjqvTETlRrsoAzDNNRNt+13LhHd1CuzlSwxMrUZm/iVnVlQWMxE+DaAzwp1ZrsA2cYxpNHN/Xjq9OXfA0L9iJLhIfvvgNDdy7HsbeuhPa+Oq7OVJCzsnhu50BDaE+ev6KeeA94BiSTUK3JFnhK6LX4UElyVhbP7xzo9DIWFC8cvxCqePf1WnjrmU/i6eH1sfbZtvu3JyaLOHBKb2UnsX2sE1aFlLDYyobSba0buDFXy/GNEt7T0WJ3PcctlPLz9r1+xnWSTxLbxzrpSgHvxi9faabS0m1todJO8yMTCvkcHtnUH+2HLHBK5QpWjR7Cuif/LLIvrFtf74nJIq66DHRIavtYJ10p4BkibXAircg2l1N77um6bUsSsiNdGvtipJHrs9VILsiFfA5VIVquDVKY3dw2WaLEto910pUCXhUCpZnZyN7/J390aWTvrcJpDaTBN5dWBG5NI2ePVXpRdTuUmSL2v6t49qENqRBvoEsFHKhd2aP6Av7dD69H88YaPtq/rHFCTUwWkWmnAz7jSVUICHAvnm4in7NwbHQrADQqLXXPS4t4A12eRjgvatHu3kU9uFgqY1nOwrVyJZQexHHy129daeSkPvHaaWXxQc7KugZkGKbbWbooi+uz6u+AzKBR9TCRWBnC3nvXRba+KOhqAQdqwb/JJ29N6RjY90ao6VBxIHNSAShPPumzGzt8znj6CMN0G4t6MloBl7i5H29b0pMq6xvoYheKxJkKdC1l4i25WCprT755ITA8WIgsap4hgNPQmaRzdaaCpYuyyr/19dayt9xSA0suWSlJJdFfy3Y9vVaWWkTNT26nlUlOSuLt+ZxnA53hwULoaYaPburH95/Zjr/7D9vxqM/UuqTsO2bhcH22iqwj+GVlCXt21FwjI9vWaM/LNOR9O0m0C6UdX3Vfr4U9O9Y1TeK4WCpjiQ9TsjLfxgICQFBvsz0Lxd760vk3ANh777qW57TDC8cv4LVTP8CMz51RyOewZe0KvHj8QupiDky6qTqiz0sX3ZK54cGCsnzeyrQae3bdWJazQFSz0js1fUdFogU8n7O0/uq+XgulGXVAslDfwWOHz2HX+FSTMJbjVmUfqLYlS4T7NxYaJ1K+18LingyulVtPJHnChR3M9CveADAzO4evTl9i8WY6TqlcaerxPXTncox/811UqrfOzsq8wN6DZ3Dy/BUcPXsZxVK5STfsOtSp6TsqSERd1mZjaGhInDx50vj5g0+9oa2Wen7nAE6ev9Ji4VlZgpWhQKJjCqF2uxVXwNCZYZKzsi2FBs4RTwzDtEIUXiVvIZ9rpCZGDRGdEkIMOR9PtA/cLagwPFjA08Pr8dzOgUZLx75eCxDBLEZTCvkc3t6/HcdGt8ZSEUlozTxRNZzfe9C9r0OS4IAo0ynCtFeTUFCX6K/SMk1ATnbmc06FFqJ2KxQWVrY53EGo3T5t3n8EE5NFZVN3P3jV41gZ0rog7CfPxGQxNamRVoa8N5xhUoAAGlrQKRIt4JWq2pKeqczjCxOn8cRrp1EslSFQE9aw212OPbChYWXb/WHSB3by/BUs7vG/C7NEeH7nAN5+ZrvWis8S4bYl+hCFPWLupx1n3K1Y+3qtxjZmiVCZF02+R4ZJM1ILOiXiiRZwt6T8Pz5xIVKXQWmmguHBQsNV4pSccqUauEdyVQjse/0MJiaL2LJ2hbLhzrMPbXB1IV2/Odc4aUxv5fw26cnnLDy/cwC5gD6PnJXFnh3rGncquvFVDJNmypVae+NOWOOJzkJxI+o+FXYLNwpf19WZCh5/ZRoZtGafEAR2j08hQ6QVPXtk3SSg6gx8umX4yOfvvXddY+qIM6Xq+uxciyWdszJYYmVbUq027z+SGv98J9GlkTLpoFgqY/f4FE6evxJbN8tEC7iXyETJ1es3MTFZxPBgIbKMk+q8gErWZBDWy2KVwcyRbWtcM1AIwP0bm8c/7b13HUZemVbGDAqKPFfn+Cgp6MVSGdn6hWb50sXK/NgkBHvSAIt3+hEAXjx+AUN3Lo8lxTDRLpS9967rWEvPmco8Rl6dDiVY2S66xvRATRztA1ZVCABHz15uemx4sICxBzc0DWV9fucA3qln2HidfLJ03+4a0fkD01jh1gncjjOTHuy9i6Im0QI+PFjAFx8a0PY3iJpKVTQGm8o+wp2gKoRWnO1l9MdGt2rLhFVWsHzN24ai7URVNKRKcUzDZJO4IKpNYXcaBDkri4fvvqOlDJxJJ3HddXoKOBHdQURHieg7RHSGiP5d/fG9RFQkoqn6zyejWODwYAH53kVRvLUR8kAMDxY6NgmHAGxZu6LlS29lCddvzmH16KFGAMWrX0o7TEwWsXn/kcbn6dxKzpN3eLDQaCa00BEC+NaFa7h/Y6Hp7ueZ+9bj6eH1mOcm5F2B/L45vzNhBzlNLPA5AI8LIT4EYBOAf0NEH6r/7TkhxED9509DXZmNIFeznJVpyeO2k89ZRqJiFz63RjhRIl0g0k1iL1oq1fubS/eFSujbne83MVnE4FNvYNf4VFPapp+mQHt2rOuoGypJlCtVHD17uenuB6jlFLN8px/ZRE9WR9u/M2GnHHoKuBDikhDiW/X//xOA7wKItQGAznos5HN4Z/92PG+rxpS+3O/+9i9i7AH1EGArW2vcvv0jK10/19nNcHiwgJ+9a3lb2yLxeyGQvm75pe9d1NMSgJTCYBd6ad0FDajIk1DV0kAotkN3sbD76QkJ990FIEvk6y5DFoStHj2EwafewMgr09zLvUtYuqjWV9zUxdgOvnqhENEqAF8H8GEAnwPwawD+EcBJ1Kz0q4rXPAbgMQDo7+/feP78ed+LVPX5UPUDUaHrpyIn9ei+NBkCfvnu/pZ0IDfXgSmyU9+BU0Xj9Dpn34XVo4eU1hoBeHv/9rbWZ8dkewv1LB2ZjaLKYgnyvnayROjJEm7OJbcZWa3KFE3plbrUQE4ZXLgE+Y623QuFiG4DcADALiHEPwL4PQB3ARgAcAnAs6rXCSG+LIQYEkIMrVixwteiJU7rzdSqnJgsapthXZ2puArIvAAOnCq23O60G5wgAMdGt+Lp4fW4f2NBaYk741gqqzZKX7cdr+2VYu2VjWLqP9dRFSLR4g3U2jgsXdTT5OZStS9m8U4+uoSgMFyoYX5HjQSciCzUxPtFIcRrACCE+HshRFUIMQ/g9wF8LLRVKfCbMSGtdje80rbKlSoef3m6SYh0O9/09tn++qNnLyu/yHKWp9vFSpXa6MfXbRpccTvZ5Od53SqqfIHdmmtRKldwbHQrnts5gBuV+Zb2xX29lrF4Z4ka5wATL8uWWMrv1yOb+psu0JbPrKF241FOPAt5iIgA/AGA7wohvmh7fKUQ4lL9138J4NuhrSoETPpim5R2V4Vo6v2rKpqRJeO7xqdc38t+8CYmi65WaO+iHmz/yEq8dOJd7BqfwuMvT+Phu+/A0J3LGxWROSvTaI8p+4brLmxulZRu/Y11RUL5nNWo1Nyt2W5pvauOhfSfd6Ml+oWJ0zh69rLy/Otd1OPqupM4XYRhuO4Yc1QFhB/tX9Zwqcrvk+4OX4fbdzQIJhb4ZgC/AmCrI2XwPxLRaSJ6E8AWALtDW1UIhHmy261JN3eOm0Vvf57J3UGxVMYLxy80LjJVIfDC8Qv43Mu3MkFmKvON9phVIZQuH6B2so28Ot14XalcaSmD1wVXVNv7/M4BTO25p3EierlzdG4YAf1dUBKLWjLU6t5S8cLxC64plqq7JytLyOf0d12dLiZjgGNvXcFP/9bXmhrp+cVZUNcunha4EOKvoHb9RJY2GAZhW3d2EXKWlUvcLHp7ALKdqTluacJShJ1r2/f6GaMOgMVSudE+wI5ueyW6uxJ5t6FrRVDI51wHNRc0r+sU2Qxh58/cgUNvXvJteUkyRNg9PoVluZp/vDRTQb7XghBQTlmSyN8ff3mam4J1kHJlvq0xgWEX+HRbNleDoDtYZ/iZBB50vkrn414HsR3bU7633cftR2yC5Kl6BZnd/PVu1nvcVqfXfq9UBY6evYw9O9YFvkOoCtG4C7pRmccjm/pxozLflM+/a3wKg0+90XIchgcLmGfx7jjtHIGwkwy6UsCDJsr39VpYtqQ1GGkaeDANLLodRALwyKb+wAJxez7XEjT0Q9A8Vbcgs5vAu+0z+bq4qjhNcvxlvMCPFUxQu4TKlSpeOvGu8m7s6kwFu8ensMoRZF4ofWW6oaOAs5Aw7AAmkPCZmEDr1B2TadBeAZ/Ndy3Hty5ca/riWFkCFBN97NPtw1qvbn5lPmfhUxtWNoaq+kUGvva9fibwLT4Qfi65F177LEkBPL8zFcNy5cljCwAjr053dChGhqJt52xla64qP3USceN1XDfftRwPDvX71i7t52nywBPdTtYpdKbToN1cFFkCXvzsx1tE4/rNOWXkubdeVWWKl7/YvnbnwQXgezDx0kVZzMxWm97DRLwzAH5E0643bivPa58lpR2tlSXfwhmWzsk7IxlLafci3Q5Rirc9u0lmXMV18e7rtYz2ac7K4v6NBbx04l3tndixt67g2FtXUMjn8NzOgchayyZawN3yi912iFv/7qoAHvn9v8GLn/1403usHj2kfH5U4qESrYF9b/i2OG448oz3Hjxj9LpslvCpDStbrJwobvPaJap+7KZQfQ26i3xcXKwHmccOn0NppoJCPoeZ2bmOCXkYSEvWrQf9xGQRnxufQhhlXJvvWo7JC6WWwedWlrBnxzqjC8bingyG7lyOoTuXe6YOmxqdQUm0D1wnnl6iumWte8XnsbeuGPesjsIaVRXRBB1MLINixVIZI69MG7+HDMiF2TclKjqdQif9+p0eHJ3vtVoKot67MefatC0sokjrzBLhkU39nj3ohwcL+OLOgaa+Rn29lrLPkdtnPbqpHy9+9uP4zm//Ykv/pLEHNgAAZmbnPN/LPg3LJD4Tdv8TO4m2wHWWl5eomuRa7j14piXP1i0VLix0bqEgw5GdqKbruFEslUPz0ZkQJJ4hX1OuVBu9VuLELhJRfr60QKUF6PSx5qwshEDLHVplXhhNrlqUJcwG9Ju/s3+79g61HWTtwtCdteCx27mhumPVxZIkMiFANd5MNWHKT2xBivKeHeuwe3zK01UW1Z18ogU8qKia7CznCa/zS4ctaDq3UKeCNfICGfWtXpB4hvM1VSFird60MjU30+b9R3AxQEaPKfasG7kvVBc7XcWryZ3Bz6zqw7G3rgReY1RurHKlit3jU+ixxRdMz0Xnd3aJlWlqXSBQ62cE1Iw6t++1aa2EHdkh9OT5K5654VHFlRZkForknYCZFkHWJNF1ETRFClhU1qCz62FY6I6J2+d1MvskS4SH7zbLhMhZGSxfuhgXS2XXQdQqTDo3StrZH0HPl75eC5NP3lOzUDUzVKPC77mo2z/Oi77KMl8V4A4jS4R5IZDvtXCzUm3xq0usLGHpoh7XQi0vUpmFAphldTgZ2bbGM7gA1A64350ZNDNGorNk+nqtevOjZrHotTJYrJj0PjFZNNpGv6iqMdu5YEmCxDM6lX0iU/ZMK2bn5kXTcTHNJPIrUF7Dq90IerGXPfPl8d578EyTxd9rZVCZF5GkNZoef/uAbRXOlQnU2h28cPxCo7VzEOQ+dQaR7YKd77Xw3o1bwe+w73QTHcQMiukIryATMtpt0q4rXNmzYx2euW99S2BmpjKPG5V5PLdzoCnQE6Wv2r5PwpoqEiRI3ImiFXsg11RA5OxU4FbRkhdB4ivyvf0E79rF3l9neLCAqT334J392xs/36kPTokiyGly/O3nZxBkzyET5DZ6bWulKrB0cY/r4JWwgppdKeBAbYSXCX53ppsladKi1a0qcXiwgKWLW2+KdGv0U6GYz7W2x9Rh/7ywpooEaX+rek2U+RbSIvZq0qXC2SvHrQVsu9k+cfZFNznWw4MFPPvQBtcGXaYjDCWmFzivu6Qwzhc5+eutZz6Jd/ZvN2pnIM+HoJl0piTehRKU4cGCsYvBz87UuUCW5Sxj14qbW8jPAd+zY51R5JwA7L23dkGzu0K2rF2htT7CPgGDBIlVr4nSJ+7cJpXLQhdEzRBh9eihxnbpAvDtpmm20wjNDgEtQT8dJsfaz/FVuZmsDOG2JT0trsJ21ibdI+00n9K1wvA6D+XFP2gmnSldK+BArUrx+qz3ye5nZ+q+mEStKV4mRUeqtZgecOeXplexvTJgo3O96Mr2ozgBg8QznK+JMrDp3CaVKOlG4TmnET1z3/qGHz3MrKawLDcBYImVBUCeFwTTY216fMPM+HLrdGmPL5i6SZzvoVqXVyzCLvpRpyd3rYBPTBYxa3Cr6Xdn6k4+r6EGpoFAvwdclc/q54vh9Xlx5ceb0k4gzw23YczO/WcfqqHKOrGXvYcdqwjzLuTqTAV9vRYW92SaAm52n21UxzrIxVyFyfk5dOdyjH/jXeMMGq87JacGuLUDjjo9OfFphEHRWWq9VgZ99ZSvMHemW5qc39vpMLI+/OD1eXGvx2S9Ju4x06ZLflL5nEQ9XNq5772GYQfJk7efi0k71k5U6wPcBdLtrk26WbzyxDuNLo2wawU8rqntEpVfz56O5jcHupsJQyTcvpSyIRLQ2rnPyhLGHtgQ2hc0SH67Kbpz6v6NhYbgOK2/LWtXYPyb7zZtczZDyMC9UtdtvUkRdbfvmNt64taCKGh7Kn3aWKZJtdI93i5u2SVRR6LTRFhpibqsls13Lcc/3ZjDrvEp7B6fwpwzwBuyvdLucGk39r1+RhlXeenEuw0x3bNjHab23NPo1zJ05/KWbcwA2PmxO1wzY3TnYljHKwyCZkTF2ecobrrWB65L1Yxy1KLOrxd1JDpNBO0w6UTlW1z1/lxTubhKqyvzt3K2w7Aqo/JxTkwWtV0GnQFT5zqclnZlvta47NjoVu0dg4C6sC2s4xUGQQ2hpMVxwqRrBbykOfl1j0dJN59AfgnzbsR5wbzrCbMxrVL4glbTAtG7FUzz7J1i6rV/3YLAqv0Q592j1z4NagjF1eeoE3StgCfJ6u3mE8gvUR4X03LxLLWmzpUrVTz+8jQAbxFvt52CCX4yTexi6rV/7eei6nnOC0Jc36MvTJxuytdW7dN2DKGwsl5MiDNm0LU+8Ch9k0EYHtTPjFxIRHlcTMq5c1ZWK/RVIYz8u2FVp7rhpzTdLqYm+1eei7pPsF8Q4vgeTUwWlcU2zn3qFmdKCnHHDLrWAmerN5lEeVwevvsOZcGGc+ycW+MjE/9uHG4F07uJnJXFlrUrGi1vb8/nmrJU7Kl29ueMbFtjZF3rcp53j09h7PC5UI7d2OFz2tiyc5/GaUlL/FjUcccMulbAgc4cbMabqI6LbA8qZxXKlrCqhv5uxUBeQhyHW6FgULAjc5jteeHFUrlhzRZs4q1y+dy/sWA0Uk8er6hcR277u9OBfr/bHHfGWVcLOLPweHp4vVKw7cgv3uMvTystXS/RiCMo7RZstOc+b95/pOU5Tj9yredJq1UoR+p12rrUXRAJ6IjL025xu1XaJiHjjAWcWZDIL18QIY7DPecMNsqBDM6qUS/Lzm3ak5woY7ruqKxLXdMwew+fuFBNgVKh2+a4M85YwJkFSztCHId7zuQz2umN4tcqjMq6TEK8ymsohBPVNqvmt7bTpsEEFnBmQeIMTD23cyCV8RKT5l75nIWbc/NtW4VRWpedjFf5maIE1FrfzszOYfXooUZQ1zmXtCpE06zTqGABZxYcceRxx4XT1aKaZq/qBR9EWJJgKYeFl5/biZx/uSxn4frsXKNKVlctC8RTsdq1zawYRkeUDag6jd0VENdtfNrwa3E7g8Z+XFZhNcxK7VDjMEhKNzXGjKiPVzc3F1MFZ9N8hxEFfqYa+Q0aO4k6DbLrBbybbpfjphMXvjiOV5LaLATF7dgkqQFVnJieryYirGtT6zdofP3mHCYmi1xKH5Q4yp67kU61EY3jeCWtzYJfvI5NN99h6JiYLGLklemmfTLyyrTyfNVdqLNEniX6I9vW+BqUXCpXIv3edL2AL8STOQw6deEL83hNTBaxef8RrB49hM37jzS+RGnoqeGG17Hp5v7XOvYePKNso7v34JmW5+ou4M8+tMGzV9HwYAGPbOr3tbYovzdd70LphtvlTtCpC19Yx8vLFZPmNgtBWsam6Q4jCM40PrfH/WbTqMbaWVlqmnrkBZfSB2Qhnsxh0KkLX1jHq5v9wH5axi6EwH0Q94TpBVxlCKg6J3rBpfQBWWgnc1h06sIX1vHqZteZybFJ8x2GHyYmi40+7ir6etsboagyBPyKd5Q9XTwFnIjuAPBHAH4MtbV/WQjxn4hoOYBxAKsAvAPgISHE1UhW2SYL5WQOk05e+MI4Xt3sOmOjpIa0jt2KcPbsWNfWZ4RxwReILuPNxAKfA/C4EOJbRPQ+AKeI6M8B/BqAvxBC7CeiUQCjAD4fySqZjpDmC1+3u87SfGzCwiufO5+zIjMEVBWvi3sySp+72zDpdvHMQhFCXBJCfKv+/38C8F0ABQCfBvCV+tO+AmA4ojUyjG/SnmnCeONmHdtbCLSDLmPlkU39LefW3nvXxZ6e6ssHTkSrAAwCOAHgx4QQl+p/+r+ouVhUr3kMwGMA0N/vL/2GYdqBrdTuRmcdZ4mMLtYmhT9B3FVxuraMe6EQ0W0A/g+A3xFCvEZEJSFE3vb3q0KIPrf34F4oDMOEhaqnia6CMszXdoK2eqEQkQXgAIAXhRCv1R/+eyJaKYS4REQrAfwwvOUyDMO4004wN8400yhbUphkoRCAPwDwXSHEF21/OgjgVwHsr//7J6GsiGEYxpCgbrK40kyj7u1jUkq/GcCvANhKRFP1n0+iJty/QER/B+Dn678zDMMknrjaDUTdksLTAhdC/BWg7d/yc6GsgmEYJkbiSjON2tLv+mZWDMMwTuJKM43a0u/6UnqGYRgV7aaZmgQno7b0WcAZhmF8YhqcjLrtAQs4wzCMT/ykIUZZUMYCzjAMY4DdZaIrf4y72yULOMMwjAemk+zj7nbJWSgMwzAemEyy70S3S7bAGYZhPHBzjRDQsZ7sLOAMwzAe6DofFvI5HBvd2oEV1WAXCsMwjAe6vuCdHhDCFjjDMIwHSR1jxwLOMAxjQBIHhLALhWEYJqWwgDMMw6QUFnCGYZiUkngfeJTjiBiGYaIiDu1KtIBHPY6IYRgmCuLSrkS7UKIeR8QwDBMFcWlXogU8rsGjDMMwYRKXdiVawOMaPMowDBMmcWlXogU8qeWrDMMwbsSlXYkOYia1fJVhGMaNuLSLhNDNlgifoaEhcfLkydg+j2EYphsgolNCiCHn44l2oTAMwzB6WMAZhmFSCgs4wzBMSmEBZxiGSSks4AzDMCkl1iwUIroM4HzAl38AwD+EuJy0wNu9sODtXliYbvedQogVzgdjFfB2IKKTqjSaboe3e2HB272waHe72YXCMAyTUljAGYZhUkqaBPzLnV5Ah+DtXljwdi8s2tru1PjAGYZhmGbSZIEzDMMwNljAGYZhUkriBJyIPkFE54joe0Q0qvj7YiIar//9BBGt6sAyQ8dguz9HRN8hojeJ6C+I6M5OrDNsvLbb9rz7iUgQUepTzUy2mYgeqh/vM0T0x3GvMQoMzvF+IjpKRJP18/yTnVhn2BDRfyOiHxLRtzV/JyL6z/X98iYRfdT4zYUQifkBkAXwFoAfB7AIwDSADzme868B/Jf6/38JwHin1x3Tdm8B0Fv//28slO2uP+99AL4O4DiAoU6vO4Zj/ZMAJgH01X//0U6vO6bt/jKA36j//0MA3un0ukPa9n8G4KMAvq35+ycBfA0AAdgE4ITpeyfNAv8YgO8JIb4vhJgF8D8BfNrxnE8D+Er9/68C+DkiohjXGAWe2y2EOCqEmKn/ehzAB2NeYxSYHG8A+G0AvwvgRpyLiwiTbf4sgC8JIa4CgBDihzGvMQpMtlsA+JH6/5cBuBjj+iJDCPF1AFdcnvJpAH8kahwHkCeilSbvnTQBLwB41/b7D+qPKZ8jhJgDcA3A+2NZXXSYbLedz6B2xU47nttdv528QwhxKM6FRYjJsf4pAD9FRMeI6DgRfSK21UWHyXbvBfAoEf0AwJ8C+LfxLK3j+P3+N0j0SDWmFSJ6FMAQgH/e6bVEDRFlAHwRwK91eClx04OaG+VfoHan9XUiWi+EKHVyUTHwMIA/FEI8S0QfB/A/iOjDQoj5Ti8sqSTNAi8CuMP2+wfrjymfQ0Q9qN1q/b9YVhcdJtsNIvp5AL8J4F4hxM2Y1hYlXtv9PgAfBvCXRPQOav7BgykPZJoc6x8AOCiEqAgh3gbwt6gJepox2e7PAHgZAIQQfwNgCWrNnrodo++/iqQJ+DcB/CQRrSaiRagFKQ86nnMQwK/W//8AgCOiHglIMZ7bTUSDAP4rauLdDT5RwGO7hRDXhBAfEEKsEkKsQs33f68QIs2DVU3O8QnUrG8Q0QdQc6l8P8Y1RoHJdl8A8HMAQEQ/jZqAX451lZ3hIIB/Vc9G2QTgmhDiktErOx2h1URk/xa1iPVv1h97CrUvLlA7qK8A+B6AbwD48U6vOabt/t8A/h7AVP3nYKfXHMd2O577l0h5ForhsSbUXEffAXAawC91es0xbfeHABxDLUNlCsA9nV5zSNv9EoBLACqo3V19BsCvA/h12/H+Un2/nPZzjnMpPcMwTEpJmguFYRiGMYQFnGEYJqWwgDMMw6QUFnCGYZiUwgLOMAyTUljAGYZhUgoLOMMwTEr5//g5ep5qHf20AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_CC4\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_PPT1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_PPT2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_PPT3\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDAPS_PPT4\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lat\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lon\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DEM\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Slope\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solar radiation\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Next_Tmax\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Next_Tmin\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in plot.columns:\n",
    "    print(i)\n",
    "    plt.scatter(x=plot[i],y=plot.Next_Tmax)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "electronic-bailey",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot[\"quarter\"]=Data.Date.dt.quarter\n",
    "plot[\"month\"]=Data.Date.dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "configured-entertainment",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "super-wildlife",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1b650871488>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=1/plot[\"Solar radiation\"],y=plot.Next_Tmax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "adopted-disco",
   "metadata": {},
   "outputs": [],
   "source": [
    "Max=plot[temp]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "sonic-herald",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['station', 'Present_Tmax', 'Present_Tmin', 'LDAPS_RHmin', 'LDAPS_RHmax',\n",
       "       'LDAPS_Tmax_lapse', 'LDAPS_Tmin_lapse', 'LDAPS_WS', 'LDAPS_LH',\n",
       "       'LDAPS_CC1', 'LDAPS_CC2', 'LDAPS_CC3', 'LDAPS_CC4', 'LDAPS_PPT1',\n",
       "       'LDAPS_PPT2', 'LDAPS_PPT3', 'LDAPS_PPT4', 'lat', 'lon', 'DEM', 'Slope',\n",
       "       'Solar radiation', 'Next_Tmax', 'Next_Tmin'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Data.columns[Data.columns.isin(Max.columns)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "twelve-riding",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station</th>\n",
       "      <th>Present_Tmax</th>\n",
       "      <th>Present_Tmin</th>\n",
       "      <th>LDAPS_RHmin</th>\n",
       "      <th>LDAPS_RHmax</th>\n",
       "      <th>LDAPS_Tmax_lapse</th>\n",
       "      <th>LDAPS_Tmin_lapse</th>\n",
       "      <th>LDAPS_WS</th>\n",
       "      <th>LDAPS_LH</th>\n",
       "      <th>LDAPS_CC1</th>\n",
       "      <th>...</th>\n",
       "      <th>LDAPS_PPT4</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>DEM</th>\n",
       "      <th>Slope</th>\n",
       "      <th>Solar radiation</th>\n",
       "      <th>Next_Tmax</th>\n",
       "      <th>Next_Tmin</th>\n",
       "      <th>quarter</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.051193</td>\n",
       "      <td>99.668961</td>\n",
       "      <td>27.872808</td>\n",
       "      <td>22.907420</td>\n",
       "      <td>11.017837</td>\n",
       "      <td>44.002020</td>\n",
       "      <td>0.890438</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>37.6046</td>\n",
       "      <td>126.991</td>\n",
       "      <td>212.3350</td>\n",
       "      <td>2.7850</td>\n",
       "      <td>5925.883789</td>\n",
       "      <td>23.4</td>\n",
       "      <td>22.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.196007</td>\n",
       "      <td>95.168205</td>\n",
       "      <td>28.097980</td>\n",
       "      <td>24.510159</td>\n",
       "      <td>8.374849</td>\n",
       "      <td>38.782242</td>\n",
       "      <td>0.796409</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>37.5102</td>\n",
       "      <td>127.086</td>\n",
       "      <td>21.9668</td>\n",
       "      <td>0.1332</td>\n",
       "      <td>5772.487305</td>\n",
       "      <td>26.1</td>\n",
       "      <td>24.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.027298</td>\n",
       "      <td>99.209839</td>\n",
       "      <td>24.078120</td>\n",
       "      <td>21.866817</td>\n",
       "      <td>8.543768</td>\n",
       "      <td>9.371270</td>\n",
       "      <td>0.857962</td>\n",
       "      <td>...</td>\n",
       "      <td>0.980052</td>\n",
       "      <td>37.6046</td>\n",
       "      <td>126.991</td>\n",
       "      <td>212.3350</td>\n",
       "      <td>2.7850</td>\n",
       "      <td>5893.265625</td>\n",
       "      <td>23.2</td>\n",
       "      <td>20.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.891193</td>\n",
       "      <td>94.747780</td>\n",
       "      <td>29.195536</td>\n",
       "      <td>23.236973</td>\n",
       "      <td>10.881031</td>\n",
       "      <td>79.349271</td>\n",
       "      <td>0.392393</td>\n",
       "      <td>...</td>\n",
       "      <td>0.057358</td>\n",
       "      <td>37.6046</td>\n",
       "      <td>126.991</td>\n",
       "      <td>212.3350</td>\n",
       "      <td>2.7850</td>\n",
       "      <td>5812.293457</td>\n",
       "      <td>27.6</td>\n",
       "      <td>21.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.795406</td>\n",
       "      <td>83.902847</td>\n",
       "      <td>31.480089</td>\n",
       "      <td>25.607262</td>\n",
       "      <td>8.995135</td>\n",
       "      <td>26.022306</td>\n",
       "      <td>0.517181</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008702</td>\n",
       "      <td>37.5507</td>\n",
       "      <td>126.937</td>\n",
       "      <td>30.0464</td>\n",
       "      <td>0.8552</td>\n",
       "      <td>5681.875000</td>\n",
       "      <td>30.7</td>\n",
       "      <td>23.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     station  Present_Tmax  Present_Tmin  LDAPS_RHmin  LDAPS_RHmax  \\\n",
       "225      1.0           NaN           NaN    70.051193    99.668961   \n",
       "271     22.0           NaN           NaN    72.196007    95.168205   \n",
       "300      1.0           NaN           NaN    95.027298    99.209839   \n",
       "450      1.0           NaN           NaN    60.891193    94.747780   \n",
       "464     15.0           NaN           NaN    52.795406    83.902847   \n",
       "\n",
       "     LDAPS_Tmax_lapse  LDAPS_Tmin_lapse   LDAPS_WS   LDAPS_LH  LDAPS_CC1  ...  \\\n",
       "225         27.872808         22.907420  11.017837  44.002020   0.890438  ...   \n",
       "271         28.097980         24.510159   8.374849  38.782242   0.796409  ...   \n",
       "300         24.078120         21.866817   8.543768   9.371270   0.857962  ...   \n",
       "450         29.195536         23.236973  10.881031  79.349271   0.392393  ...   \n",
       "464         31.480089         25.607262   8.995135  26.022306   0.517181  ...   \n",
       "\n",
       "     LDAPS_PPT4      lat      lon       DEM   Slope  Solar radiation  \\\n",
       "225    0.000000  37.6046  126.991  212.3350  2.7850      5925.883789   \n",
       "271    0.000000  37.5102  127.086   21.9668  0.1332      5772.487305   \n",
       "300    0.980052  37.6046  126.991  212.3350  2.7850      5893.265625   \n",
       "450    0.057358  37.6046  126.991  212.3350  2.7850      5812.293457   \n",
       "464    0.008702  37.5507  126.937   30.0464  0.8552      5681.875000   \n",
       "\n",
       "     Next_Tmax  Next_Tmin  quarter  month  \n",
       "225       23.4       22.0      3.0    7.0  \n",
       "271       26.1       24.1      3.0    7.0  \n",
       "300       23.2       20.5      3.0    7.0  \n",
       "450       27.6       21.8      3.0    7.0  \n",
       "464       30.7       23.4      3.0    7.0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Max.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "sound-malawi",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "recreational-findings",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "completed-religion",
   "metadata": {},
   "outputs": [],
   "source": []
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